# Manufacturing Data & Process AI Integration System Engineer, Additive Manufacturing at Hadrian

- Company: Hadrian
- What the company does: Hadrian is rebuilding America’s industrial strength, rapidly scaling our country’s manufacturing output through advanced software, automation, and human skill. Backed by a16z, Founders Fund and Lux.
- Company website: https://www.hadrian.co
- Type: Startups (AI role)
- Level: Mid level
- Location: Los Angeles, CA
- Work setup: On-site
- Pay: $135K to $220K base salary per year (USD)
- Posted: 2026-09-26
- Apply by: 2026-11-10
- Apply: https://jobs.ashbyhq.com/hadrian-automation/81a426cb-558c-4ad9-a702-36d866bd2afc
- Page: https://www.1752.vc/careers/jobs/hadrian-manufacturing-data-and-process-ai-integration-system-engineer-additive-m/

## About the role

Monitoring and Analytics Layer: Own the monitoring and analytics layer for the AM fleet — what is computed from raw machine and build data, what is surfaced, and what triggers an alert, at the fidelity traceability and modeling require. Analytical Data Layer: Own the curated datasets, feature definitions, labeling, and dataset versioning, built on the canonical machine data model and pipelines owned by the Machine Controls & Data Integration Engineer.

## What they're looking for

- Bachelor's degree in Manufacturing Engineering, Computer Science, Data Science, Materials Science, or related field
- 4+ years in manufacturing data systems, process engineering, or data-driven manufacturing in a production environment
- Hands-on experience developing and deploying AI/ML models in an engineering or manufacturing context, including model training, validation, and production deployment
- Proficiency in Python and relevant ML frameworks (scikit-learn, TensorFlow, PyTorch, or equivalent), and SQL fluency for working with manufacturing data at scale
- Experience building analytical datasets from structured and time-series manufacturing data, including handling of gaps, resampling, and data quality problems
- Familiarity with structured problem-solving methodologies (8D, 5 Whys, fishbone) and statistical process control

Tags: Manufacturing